is mostly intelligent. a on a michael looked at me and the rest of the team here in berlin. thanks for watching and bye for now. the ones small steps for a robot vacuum. one giant leap for exploiting the ocean floor. cutting edge technology is unlocking the potential of deep sea mining. but this time, a research team will study the possible risk response in order to minimize the we have an opportunity to to get it right before we even start environmental activists of skeptical is this true nature conservation?

well, i mean the green washing rule bill billions to be made out to pot document trees, deep sea greed stats, june 7th on t w. i'm just gonna throw this on. what do you think struck a that's quite us. david p talking to an a i chip on the stage for you. it's more it more like talking to an actual human being. but what does this really mean for us as use us? how well do they really understand us? and what are the risks that we face? jeff, thoughts are becoming increasingly lifelike. take trip to peachy for oh, by open a i. it can visually identify surroundings and recognize our emotions. the boat even has some understanding of comedies. what do you call. busy a giant pile of kittens. i don't know why i'm younger than of the

city. that's perfectly the layer. it is just how useful is the newest version of chip shape it to you really cheap t for o is more human than ever. it can communicate emotionally and see its surroundings . the old steps for on the as an on the put sense, the model can work with text, audio and video making the into action more natural. take a look. and i wrote one last thing, i love it. you can take a look at, of course i'd love to see what you wrote, show it to me whenever you're ready. okay, so this is what i wrote down. what do you see? oh, i see i love chat to p t. that's so sweet of you. according to it's make of g, b, t for all can not only express emotions and recognize your emotions to it looks like you're feeling pretty happy and tearful. hey, i, systems learn to recognize emotions by being trained on corresponding data. so for example, by analyzing text, that leaves the smile to happiness,

that leaves tiers to establish and a i is train to up to the like in an optimization process to recreate this data. but what happens when a, i adults more human like traits? the model become indistinguishable from extra human. we tend to be very trusting of computers decision, even if they contradict own believes that's according to research from as fairly as 1999 and more recent studies suggest the same checkbooks already convincing. but if they speak to us like a human being what they might be even more so, and that could be a problem because a, i can like it can invent effects. it believes to be true. this is called lucy nation test. so that a i playing poco a video games have learned to bluff, to produce of favorable outcomes. the systems are known to be trying to making up

things. and if something is very convincing septic and making things up, just by my natural behavior, i'm way more inclined to believe it best if it was dry objective text or, or reasoning that can be much easier to assess sort of nonsense or not. i don't know about you, but in a i chip bought deliberately lying seems pretty scary. it could trick us into giving away personal data like credit card details. and even if that doesn't happen, a chip both could be the future of online misinformation. that's why it's important that a i is trained with error free data and is able to understand the nuances of language correct. in india, there are 22 official languages and over 19000 dialects. plus some topics like sexual health aren't ultimately talked about. and that's web checkbooks could come to the rescue domain of the books can also tricky questions about sex and health in

india. but it has to understand cultural nuances and different dialects. not what he's in the one of the more thing with degree diverse areas with um you know, hundreds of languages. but within those languages there are so many sub languages. some die leg line not only slang within those languages. what's 9 but in defense within both families? so how do we then reduced on so as an attack board, that is mental stock implement that are maybe not listed to a standardized version of our languages. as bob lots language models and able to check both to comprehend and engage in multiple languages. the l m. used by the may not be a little f r trained to connect with uses and then native language is like my bossy and even the thing list can be mixed with english. what, why people don't think that they would say something. but maybe a mom or i thought those days, oh really it's in reference to this thing, be the theme, the theme so pleasing that one lady was inclined to think that as a beast,

the exact will be just for the for that this f c use instead to having those metaphors from bias, most of the back end states of 8th is needed so the both can understand a problem correctly and doesn't get lost in translation or even worth create confusion with incorrect information or loosely nation. this requires intensive ground will be checked on so that's, that's i bought provide and if it does it all, then we have a good i portion that basically then we take all the product questions and the correct answers, nbc didn't back into the model and that is actually 20 to 25000 questions as we are fact checking and ready. not only with our staff, but also with medical professionals and doctors and has professionals have been in the field for 10 years. the nations is the issue that most across the industry. if you're trying to figure out how to do that, along with other things like it'll be by as gender bias committed to bias that

comes up in the don't. because it isn't the was the reason why this gender bias would be does, because in 10 devices, back to the basics. how does a ne i checked both learn to talk to its environment and know what to say? the most important component of chip thoughts is a so called l l m a lots language model. that's an a i program that can recognize and interprets human language. lots language model is an a i program that recognizes and interprets human language. l m. 's, use machine learning to understand how characters, words and sentences worked together. creating neural networks with many layers. processing large amounts of data based networks, learn by recognizing pets. sounds, for example, in language, then waiting and scoring them. this network is learning to recognize the number 9, the more frequently a pets and of course, the more weight, the network places on it. and this way important pets them is already used for

feedback and repeated training l. m slow and to understand and generate and natural language. the limits, the foreman's depends on the quality or training dates and l. m. often trained with data from the internet, a pre selected data set is most suitable here because arrows can be filled out before hand the. remember, the $25000000000.00 us dollars. we're invested in the development of genuine to a models such as chest u. p. t's in 2023 alone, 8 times more than the year before. and the market for a i software that can read your emotions is also growing. it doesn't even have to look you in the face. natural language processing software is being used by companies worldwide to analyze their customers and employees emotional states. the study conducted by jonathan chrysler during the colbert pen demik shows just how

well the systems work. the co founder and president of the motion a. i start the rest of tippett t analyze the red posts of 6500 nurses and doctors with this proprietary software. looking at close to full 1000000 comments over the course of full years, cried luck. you right to the data base for research as the world wide, the goal advance, the detection of psychological distress and trauma is actually a incredibly wide variety of insights that are available from our assessments. we can understand, you know, simpler concepts like personality. but we can also understand psychological traits and understand how people change in the moment, depending on the context. what we found was that even early in the pen demik, even before the world health organization declared a pandemic, we could see some of the early indicators of what would ultimately lead to burn out . things like elevated cognitive load. all that is needed is every day communication, such as e mails, select messages or social media posts. but why existing through communications,

the software doesn't just look for obvious descriptions of feelings, but also for so called function words such as pronouns, how we use these can review a lot about all mental states. people with depression, for example, use significantly more 1st person singular pronouns like i, me and myself. according to a psychologist, people who are depressed, often highly self aware, also focusing this applies across languages and cultures and a i could help support the so called language of depression, water. the patterns that exist that we're analyzing are the same across cultures and context. that's less of what people are talking about and how language can provide insight into how they're thinking about themselves and the context there and, and how they relate to the context or in, into the other people around them. it's very much a social psychological phenomena that we're focused on, and that exists regardless of the cultures or languages you're communicating. pay i

can not only analyze text, but also voice messages. the use cases are plentiful, analyzing how people interact with checkbooks prompt companies, insights into the use this mindset. the really interesting recent use it for, for technology was to help with the vaccine uptake and underprivileged communities . so what one of our customers was finding is that if they could understand how some of these populations think and how they consume information, they could do a better job. tailoring the messaging around the benefits and really the reasons why this action should be used to this community and improve vaccine uptake. after conducting interviews with community members, the language model was used to create a detailed community profile. this allow to custom tailor the message to a specific part of the population addressing benefits and concerns and methods that comes from advertising and marketing. and it's becoming more more common so called

trends of bots. i know also is using a motion a i to also use us customized travel tips. just one example is the voice a i m a v. the f is currently being tested and based on your wishes and personalities. it's can put together a trip from new york city, for example. first, you'll have to write a few pictures and answer some simple questions. the up them creates a kind of psychological profile, a few, using that as a foundation who then receive personalized travel recommendations. but what does it mean for our privacy when a companies use our data? metal for example, officially says that it uses our publicly accessible facebook and instagram photos and text for training is a i what happens then? one of our programs that can analyze or facial expressions who uses this data and what for regulation can hardly keep up with innovation, leaving us exposed to potential dangerous. for

a i just fine acceptance and responsible use that you people need to know what they are doing and how they are working work they are trained on understanding leads to better assessment a. i will continue to understand awesome the emotions betsel that's affect it will make every day tasks easier, but we will have to stay vigilant with how we developed and protect our data in the wrong hands. our data could easily be used against us. i want to know what you think about all this evil comments and let us know that's it from us this week. so you next time the box is on the line. so this includes training, the line between plastic and the job. finished goods are keilar to the email is

august on tiny house comstock width in depth conversations, booking and of course music and vans on d w when you can't smell anything or when everything smells the range of smell related disorders has increased since corona virus. how important is all sense of smell and what's his life like when it's gone in 45 minutes on d, w, we are all set and we're watching closely in the we can use the story behind the

news. we're room about unbiased information for free by the just on the list locked, isn't it interesting because some companies cynthia, good . ready ready calling music, it's me, it's just cheap speakers sell it. you'll find this unusual combination in steven invited to a tiny house.